CVE-2026-56340

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Source

https://cve.org/CVERecord?id=CVE-2026-56340

Import Source

https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2026-56340.json

JSON Data

https://api.osv.dev/v1/vulns/CVE-2026-56340

Aliases

Published

2026-06-20T18:27:10.148Z

Modified

2026-07-08T08:09:54.500064711Z

Severity

8.7 (High) CVSS_V4 - CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N CVSS Calculator

Summary

vLLM - Denial of Service via Unvalidated Multimodal Embeddings

Details

vLLM versions >= 0.10.2 and < 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed (negative or out-of-bounds) tensor indices, when the prompt-embeds feature is enabled, to trigger crashes or resource exhaustion (denial of service), with potential for out-of-bounds/write-what-where memory corruption. This continues CVE-2025-62164, whose prior fix only disabled the feature by default rather than addressing the root cause.

Database specific

{
    "osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/56xxx/CVE-2026-56340.json",
    "cna_assigner": "VulnCheck",
    "cwe_ids": [
        "CWE-20"
    ]
}

References

Affected packages

Git / github.com/vllm-project/vllm

Affected ranges

Type

GIT

Repo

https://github.com/vllm-project/vllm

Events

Introduced

01efc7ef781391e744ed08c3292817a773d654e6

Fixed

72506c98349d6bcd32b4e33eec7b5513453c1502

Database specific

{
    "source": [
        "AFFECTED_FIELD",
        "CPE_RANGE"
    ],
    "cpe": "cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*",
    "extracted_events": [
        {
            "introduced": "0.10.2"
        },
        {
            "fixed": "0.13.0"
        }
    ]
}

Database specific

source

"https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2026-56340.json"